Abstract: A method disclosed includes following steps: gridding on a research area to obtain grid units; performing a numerical processing on fertilization influence features to obtain fertilization influence numerical features of each grid unit; acquiring time information of the fertilization manual in the research area; calculating the fertilization influence numerical features of each grid unit by using weights of the fertilization influence features, acquiring nitrogen fertilizer application amounts of each grid unit in different time periods; performing a data processing on a first geographic information system to obtain a second geographic information system; and using the second geographic information system to estimate a nitrogen fertilizer application amount in the research area. A system disclosed includes a gridding unit, a digitizing unit, an acquisition unit, a calculation unit, a data processing unit and a nitrogen fertilizer estimation unit.

Abstract: Disclosed are engineered cells comprising chimeric antigen receptors and uses thereof for treating prostate cancer.

Abstract: Disclosed are an energy self-sufficient high-efficiency photothermal evaporative nano-particle porous membrane and application thereof, including: dissolving polymer A in solvent B to obtain solution A; dripping solution A into solvent C to obtain a polymer A nano hydrogel dispersion; evenly mixing polymer A nano hydrogel dispersion and nano particle dispersion of photothermal conversion material D to obtain a co-blended dispersion; performing suction-filtering to the co-blended dispersion on a surface of a solvent-resistant membrane E to form an A-D co-blended membrane; and performing suction-filtering to a solvent F using the A-D co-blended membrane, followed by drying to obtain a high-efficiency photothermal evaporative nano-particle porous membrane.

Abstract: Systems and methods for property valuation using automated valuation models are described herein, which involve a complex series of workflows for data processing, automated valuation modeling, and error detection—each of which are capable of leveraging machine learning algorithms/techniques and can be combined and operated together in a specific manner in order to improve data availability and data quality, improve the accuracy of generated property value estimates, improve the performance of the models over time, and allow the property value estimation to be adapted to various use cases. Estimation of property value may involve an ensemble model which reconciles the outputs of different sub-models based on a use case, with the sub-models using different approaches that have their own strengths and weaknesses.

Abstract: A graphics processing unit (GPU) sequences provision of operands to a set of operand registers, thereby allowing the GPU to share at least one of the operand registers between processing. The GPU includes a plurality of arithmetic logic units (ALUs) with at least one of the ALUs configured to perform double precision operations. The GPU further includes a set of operand registers configured to store single precision operands. For a plurality of executing threads that request double precision operations, the GPU stores the corresponding operands at the operand registers. Over a plurality of execution cycles, the GPU sequences transfer of operands from the set of operand registers to a designated double precision operand register. During each execution cycle, the double-precision ALU executes a double precision operation using the operand stored at the double precision operand register.

Abstract: The present disclosure relates to a method, a device, and a program product for managing a computing system. In a method, a current state and a plurality of historical states of a computing device in a computing system are acquired, the plurality of historical states respectively describing historical states of the computing device in the computing system at a plurality of historical time points. In response to determining that the current state matches a scheduling type for scheduling the computing device, the plurality of historical states are searched for a historical state matching the current state. A historical scheduling policy associated with the historical state is determined. Based on the historical scheduling policy, a computing task to be executed by the computing device is allocated to at least one other computing device in the computing system.

Abstract: A graphics processing unit (GPU) implements operations, with associated op codes, to perform mixed precision mathematical operations. The GPU includes an arithmetic logic unit (ALU) with different execution paths, wherein each execution path executes a different mixed precision operation. By implementing mixed precision operations at the ALU in response to designate op codes that delineate the operations, the GPU efficiently increases the precision of specified mathematical operations while reducing execution overhead.

Abstract: A processing unit such as a graphics processing unit (GPU) includes a plurality of vector signal processors (VSPs) that include multiply/accumulate elements. The processing unit also includes a plurality of registers associated with the plurality of VSPs. First portions of first and second matrices are fetched into the plurality of registers prior to a first round that includes a plurality of iterations. The multiply/accumulate elements perform matrix multiplication and accumulation on different combinations of subsets of the first portions of the first and second matrices in the plurality of iterations prior to fetching second portions of the first and second matrices into the plurality of registers for a second round. The accumulated results of multiplying the first portions of the first and second matrices are written into an output buffer in response to completing the plurality of iterations.

Abstract: An apparatus comprises at least one processing device configured to establish, utilizing a communication network, a remote collaboration session between first and second computing devices associated with first and second users, and to determine data to be exchanged between the first and second computing devices as part of the remote collaboration session. The first and second computing devices each comprise at least one of an augmented reality and a virtual reality computing device. The processing device is also configured to generate different logical network slices of the communication network, each logical network slice having a set of network characteristics associated with at least one type of the data to be exchanged between the first and second computing devices as part of the remote collaboration session. The processing device is further configured to communicate the different types of data between the first and second computing devices utilizing the logical network slices.

Abstract: A transformer includes a primary winding, a feedback winding, and a non-feedback winding having substantially equal winding widths in an axial direction of a bobbin.

Abstract: A parallel processing unit employs an arithmetic logic unit (ALU) having a relatively small footprint, thereby reducing the overall power consumption and circuit area of the processing unit. To support the smaller footprint, the ALU includes multiple stages to execute operations corresponding to a received instruction. The ALU executes at least one operation at a precision indicated by the received instruction, and then reduces the resulting data of the at least one operation to a smaller size before providing the results to another stage of the ALU to continue execution of the instruction.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for processing a query request. The method includes determining a first number of requests of a first edge device and a second number of requests of a second edge device in a distributed system. The method further includes determining the first edge device as a parent node and the second edge device as a child node in response to both the first number of requests and the second number of requests being less than a threshold. The method further includes sending to the child node an indication of transmitting data in the child node to the parent node. The method further includes sending, in response to receiving a query request for the child node, the query request to the parent node.

Abstract: This application discloses an access management method, an authenticator, and an authentication server, applied to a scenario in which a terminal device accesses a network. After completing authentication, a terminal device sends a first packet to an authenticator, where the first packet carries a first IPv6 address of the terminal device and a MAC address of the terminal device. When determining that the first IPv6 address is a new IPv6 address, the authenticator sends, to an authentication server, a second packet carrying the first IPv6 address and the MAC address, so as to indicate the authentication server to send a first authorization policy to a policy enforcement point based on the first IPv6 address.

Abstract: The present invention provides a two-component polyurethane composition, and belongs to the technical field of high polymer material. The two-component polyurethane composition comprises component A and component B. According to mass percent, the component A comprises 0-100% of high activity polyether polyol, 0-100% of cross-linking agent, 0-40% of chain extender, 0-50% of plasticizer and 0-5% of catalyst; according to mass percent, the component B comprises 0-100% of diphenylmethane diisocyanate and derivative thereof, and 0-50% of plasticizer; and the mass ratio of the component A to the component B is 1:0.1-1:3. The two-component polyurethane composition provided by the present invention has low heat release and excellent mechanical properties.

Abstract: Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for adjusting a computing load. The method in an illustrative embodiment includes: determining a total computing power demand of at least one user device that will be switched, due to movement, to being provided a computing service by a computing node; determining an available computing power of the computing node; and if the available computing power is unable to meet the total computing power demand, by adjusting a computing load of the computing node, adjusting the available computing power before the at least one user device is switched to being provided the computing service by the computing node, so as to meet the total computing power demand.

Abstract: A processing system executes wavefronts at multiple arithmetic logic unit (ALU) pipelines of a single instruction multiple data (SIMD) unit in a single execution cycle. The ALU pipelines each include a number of ALUs that execute instructions on wavefront operands that are collected from vector general process register (VGPR) banks at a cache and output results of the instructions executed on the wavefronts at a buffer. By storing wavefronts supplied by the VGPR banks at the cache, a greater number of wavefronts can be made available to the SIMD unit without increasing the VGPR bandwidth, enabling multiple ALU pipelines to execute instructions during a single execution cycle.

Abstract: A method for planting submerged plants is disclosed. The method includes the steps of selecting a combination of two submerged plants; planting the combination of submerged plants; measuring a biomass and evaluating the biomass. By discussing the influence of planting proportion on the biomass of submerged plant community, the structure of submerged plant community can be optimized, and the success rate of submerged vegetation restoration and reconstruction can be improved by using the positive interaction between plant species.

Abstract: The present disclosure provides a method for storing data, including: storing data in a first node, the first node being selected from a first node set including a first edge node and child nodes thereof; selecting, from a second node set including a second edge node and child nodes thereof, a second node for storing the data, the first edge node being a child node of the second edge node; and storing the data in the second node. The present disclosure further provides a method for searching for data. The present disclosure can reduce the time for searching for data in a distributed storage system.

Abstract: Implementations of the present disclosure relate to a method, an electronic device, and a computer program product for managing an inference process. Here, the inference process is implemented based on a machine learning model. A method includes: determining, based on a computational graph defining the machine learning model, dependency relationships between a set of functions for implementing the inference process; acquiring, in at least one edge device located in an edge computing network, a set of computing units available to execute the inference process; selecting at least one computing unit for executing the set of functions from the set of computing units; and causing the at least one computing unit to execute the set of functions based on the dependency relationships. With example implementations of the present disclosure, the inference process is implemented by making use of a variety of computing units in the edge computing network, thereby improving performance.

Abstract: Embodiments of the present disclosure provide a method for distributing virtual visual content, including: sending a first content portion in virtual visual content to be interacted in user equipment to a plurality of edge devices; selecting at least one edge device from the plurality of edge devices; and sending a second content portion in the virtual visual content to the selected at least one edge device, the second content portion having a higher change rate than the first content portion in the interaction. According to the embodiments of the present disclosure, a portion of virtual visual content can be distributed to selected edge devices in advance, and there is no need to distribute the virtual visual content to all edge devices, thereby saving network burden, reducing bandwidth requirements, and improving distribution efficiency.